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Not yet recruitingNCT07562269Updated May 1, 2026

Using WoundPilot to Support Wound Care Decisions in Patients With Chronic Wounds

An interventional study of WoundPilot in Wound Complication, Wound Care and Wound and Injuries, sponsored by University Ghent. Not yet recruiting at 1 site in Belgium. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-05-01.

Sponsored by University Ghent · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
40
Allocation
Randomized
Ages
18 Years and older
Sex
All
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Study summary

This study evaluates whether a digital decision support tool, called WoundPilot, can help primary care nurses make more accurate and consistent decisions when caring for patients with chronic wounds.

In daily practice, treatment decisions for chronic wounds can vary between clinicians, even when they assess the same patient. This variation may lead to delays in appropriate care, inconsistent treatment choices, or unnecessary referrals. WoundPilot was developed to guide clinicians through a structured wound assessment and link this assessment to clear treatment recommendations.

In this study, primary care nurses will assess a series of clinical cases either with or without the support of WoundPilot. Their decisions will be compared with an expert reference standard to determine whether the use of WoundPilot improves the accuracy of decisions and reduces differences between nurses.

The results of this study will help determine whether WoundPilot can support more consistent and evidence-based wound care in clinical practice.

Read the detailed description

Background Clinical decision-making in chronic wound care shows considerable variability, even when clinicians are presented with similar patient information. This variability may result in delayed or inappropriate treatment, inconsistent use of therapies, or failure to escalate care when clinically indicated.

Structured clinical decision support systems (CDSS) aim to reduce unwarranted variation by guiding clinicians through predefined assessment steps and linking these to management pathways. WoundPilot is an evidence-informed CDSS developed to support structured wound assessment and treatment decision-making in primary care.

Objective The primary objective is to evaluate the effect of WoundPilot on the accuracy and consistency of clinical decision-making in chronic wound care among primary care nurses.

Secondary objectives are to:

  • Assess alignment of wound assessment decisions with an expert reference standard
  • Evaluate whether WoundPilot reduces variability between nurses
  • Assess whether nurses better recognize and translate clinical changes
  • Evaluate usability of WoundPilot using the Dutch System Usability Scale (D-SUS)

Study Design

This study is a randomized parallel vignette study conducted among primary care nurses. Participants are randomly assigned to:

  • Intervention group: assessment of clinical cases using WoundPilot
  • Control group: assessment based on usual clinical reasoning without decision support Each participant evaluates a set of standardized clinical cases representing patients with chronic wounds.

Methods Participants include primary care nurses involved in wound care decision-making in home care or nursing home settings.

In the intervention group, participants receive a short training on WoundPilot and use the tool to assess clinical cases. In the control group, participants assess the same type of cases using their usual reasoning and verbalize their decision-making process.

For each case, participants make decisions regarding wound assessment and treatment planning, including supportive therapy, antimicrobial use, debridement, dressing selection, and referral.

An expert reference standard is established by a panel of wound care experts. Participant decisions are compared to this reference.

Outcomes

The primary outcome is the correctness of treatment decisions compared with the expert reference standard. Secondary outcomes include:

  • Correctness of wound assessment decisions
  • Between-nurse variability in decisions
  • Recognition and interpretation of clinical change
  • Usability of WoundPilot (Dutch System Usability Scale) Agreement with the expert reference and between participants will be quantified using appropriate statistical methods, including kappa statistics and mixed-effects models.

Significance This study evaluates whether a structured clinical decision support system can improve the accuracy and consistency of clinical decision-making in chronic wound care. Findings may inform the role of digital decision support tools in supporting evidence-based practice in primary care.

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Conditions studied

  • Wound Complication
  • Wound Care
  • Wound and Injuries

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Keywords

  • chronic wound
  • wound care
  • clinical decision-making
  • decision support system
  • WoundPilot
  • Primary Care Nursing
  • Wound Assessment
  • decision-making
  • clinical reasoning
  • hard-to-heal wound
03

In context

Wounds and Injuries

5,056 studies on the registry are indexed under Wounds and Injuries; 861 are open to participants now.

This study's planned enrollment of 40 is below the median of 52 across 3,239 interventional studies indexed under Wounds and Injuries.

Browse Wounds and Injuries studies →

Lead sponsor

University Ghent is the lead sponsor of 345 studies on the registry; 85 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Primary care nurses involved in wound care decision-making
  • Nurses working in home care or nursing home settings
  • Nurses who assess and/or adapt wound management in clinical practice
  • Nurses with a qualification corresponding to European Qualification Framework (EQF) level 5 or 6
  • Willing and able to provide informed consent

Exclusion criteria

Exclusion Criteria:

  • Nurses not involved in wound care decision-making
  • Nurses not working in a primary care setting
  • Inability to understand the study procedures or complete the assessment tasks
  • Refusal or inability to provide informed consent
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Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
40 participants (estimated)

Study arms

  • Experimental
    Reasoning with decision support

    Participants in this arm assess standardized clinical cases of patients with chronic wounds using WoundPilot, a digital clinical decision support system (CDSS). WoundPilot guides users through a structured, stepwise wound assessment, including evaluation of wound etiology, infection, wound evolution, wound bed characteristics, exudate, and wound edges. Based on the assessment, the system provides structured guidance to support treatment decision-making, including recommendations on supportive therapy, local wound management, and referral. Participants receive a brief training on the use of WoundPilot prior to the assessment and then independently evaluate a set of clinical cases using the tool.

    Device: WoundPilot

  • No intervention
    Usual reasoning

    Participants in this arm assess standardized clinical cases of patients with chronic wounds using their usual clinical reasoning, without the support of a clinical decision support system. Participants independently evaluate each case and make decisions regarding wound assessment and treatment planning, including supportive therapy, local wound management, and referral. They are asked to verbalize their reasoning during the assessment process, which is recorded for subsequent analysis. No additional training or decision support tool is provided.

Interventions

  • DeviceWoundPilot

    WoundPilot is a software-based clinical decision support system (CDSS) designed to support structured wound assessment and treatment decision-making in primary care. The system guides users through a stepwise assessment process using predefined decision nodes, including evaluation of wound etiology, infection, wound evolution, wound bed characteristics, exudate, and wound edges. Based on the entered information, WoundPilot provides structured guidance to support treatment planning, including recommendations on supportive therapy, local wound management, and referral. The system incorporates evidence-informed clinical pathways and aims to standardize wound assessment and reduce variability in clinical decision-making.

06

What researchers measure

Primary outcomes

  1. Accuracy of Treatment Decisions Compared With an Expert Reference Standard

    Accuracy of treatment decisions will be assessed by comparing each participant's treatment decisions for standardized chronic wound cases with an expert reference standard. Treatment decisions include supportive therapy, antimicrobial therapy, wound cleansing, debridement, choice of wound product, management of wound edges or wound environment, protection of exposed bone or tendon when applicable, referral or contact with another healthcare professional or department, wound swab, and additional technical investigations. Accuracy will be analyzed at the level of individual treatment decision components and as a composite correctness score per case.

    Time frame: During a single assessment session (approximately 2 hours)

Secondary outcomes

  1. Alignment of Wound Assessment Decisions With Expert Reference Standard

    Accuracy of wound assessment decisions will be evaluated by comparing participant assessments with an expert reference standard. This includes classification of wound type, assessment of infection (local, spreading, or systemic), evaluation of wound evolution, wound bed characteristics, presence of hypergranulation or exposed structures, amount of exudate, and assessment of wound edges and surrounding skin.

    Time frame: During a single assessment session (approximately 2 hours)

  2. Between-Nurse Variability in Treatment Decisions

    Variability in treatment decisions between participants will be assessed within each study group. Agreement between participants will be quantified using statistical measures such as Fleiss' kappa to evaluate consistency of treatment decisions across standardized cases.

    Time frame: During a single assessment session (approximately 2 hours)

  3. Between-Nurse Variability in Wound Assessment Decisions

    Variability in wound assessment decisions between participants will be evaluated within each study group. Agreement will be quantified using appropriate statistical methods (e.g., Fleiss' kappa) to assess consistency in the evaluation of decision-critical wound parameters.

    Time frame: During a single assessment session (approximately 2 hours)

  4. Recognition and Interpretation of Clinical Change

    Participants' ability to recognize and correctly interpret clinical changes over time will be assessed by comparing decisions between initial and follow-up case scenarios. Correct identification of wound evolution and appropriate adaptation of treatment decisions will be evaluated against the expert reference standard.

    Time frame: During a single assessment session (approximately 2 hours)

  5. Usability of WoundPilot (Dutch System Usability Scale)

    Usability of WoundPilot will be assessed using the Dutch System Usability Scale (D-SUS), a validated 10-item questionnaire scored on a 5-point Likert scale. The D-SUS provides a total score ranging from 0 to 100, with higher scores indicating better usability.

    Time frame: During a single assessment session (approximately 2 hours)

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Study locations

1 site
  • Ghent University Hospital
    Ghent, Oost-Vlaanderen 9000, Belgium
    • Steven Smet, Master · Contact · Steven.Smet@UZGent.be · +3293328793
    • Hilde Beele, PhD · Contact · Hilde.Beele@uzgent.be · +3293323381
    • Steven Smet, Master · Sub investigator
    • Hilde Beele, PhD · Principal investigator
    • Dimitri Beeckman, PhD · Sub investigator
08

References and documents

Publications

  • Smet S, Verhaeghe S, Beeckman D, Fourie A, Beele H. The process of clinical decision-making in chronic wound care: A scenario-based think-aloud study. J Tissue Viability. 2024 May;33(2):231-238. doi: 10.1016/j.jtv.2024.03.002. Epub 2024 Mar 1. PubMed 38461069 ↗
  • Smet S, Probst S, Holloway S, Fourie A, Beele H, Beeckman D. The measurement properties of assessment tools for chronic wounds: A systematic review. Int J Nurs Stud. 2021 Sep;121:103998. doi: 10.1016/j.ijnurstu.2021.103998. Epub 2021 Jun 7. PubMed 34237439 ↗

Individual participant data

Plan to share: No — Individual participant data (IPD) will not be shared due to the small sample size and the risk of potential re-identification of participants, as well as the inclusion of qualitative data (e.g., verbalized reasoning) that may contain indirectly identifiable information.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 1, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07562269
Lead sponsor
University Ghent
Responsible party
Sponsor
First posted
May 1, 2026
Start date
Jun 1, 2026 (estimated)
Primary completion
Sep 2026 (estimated)
Completion
Sep 2026 (estimated)
Last update
May 1, 2026

Study contacts

Steven Smet, Master
Contact
Steven.Smet@UZGent.be
+3293328793
Hilde Beele, PhD
Contact
Hilde.Beele@uzgent.be
+32 9 332 33 81
Steven Smet, Master
study chair · University Hospital, Ghent
Hilde Beele, PhD
principal investigator · University Hospital, Ghent
Dimitri Beeckman, PhD
study chair · University Ghent

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is not yet recruiting, as verified in Apr 2026. You cannot join it, but the record below documents what was studied.

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